A Beginner's Guide to GLM and GLMM with R: A Frequentist and Bayesian Perspective for Ecologists (A Beginner's Guide to, #2)

by Alain F. Zuur, Joseph M. Hilbe, and Elena N. Leno

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This book presents Generalized Linear Models (GLM) and Generalized Linear Mixed Models (GLMM) based on both frequency-based and Bayesian concepts. Using ecological data from real-world studies, the text introduces the reader to the basics of GLM and mixed effects models, with demonstrations of binomial, gamma, Poisson, negative binomial regression, and beta and beta-binomial GLMs and GLMMs. The book uses the functions glm, lmer, glmer, glmmADMB, and also JAGS from within R. JAGS results are compared with frequentist results. R code to construct, fit, interpret, and comparatively evaluate models is provided at every stage. Otherwise challenging procedures are presented in a clear and comprehensible manner with each step of the modelling process explained in detail, and all code is provided so that it can be reproduced by the reader.
  • ISBN10 0957174136
  • ISBN13 9780957174139
  • Publish Date 1 May 2013
  • Publish Status Active
  • Publish Country GB
  • Imprint Highland Statistics Ltd
  • Format Paperback
  • Pages 270
  • Language English